NH13A:
Landslide Remote Sensing, InSAR-Based Monitoring, Modeling, and Early Warning


Submit an Abstract to this Session


Session ID#: 62862

Session Description:
The consequences of landslides are severe across the world, impacting human life, infrastructure, and natural environment. This session will cover a broad range of landslide science, exploring the multi-faceted topic of landslide monitoring using InSAR method and time series analysis technique, landslide modeling and hazard assessment through physical, statistical, and empirical approaches, and landslide early-warning addressing triggering and controlling parameters including hydrologic, geotechnical, and seismic factors. These topics will be explored through the use of current or future remote sensing missions, field-based, and in-situ investigations.
Primary Convener:  Dalia Kirschbaum, NASA Goddard Space Flight Center, Earth Sciences Division, Greenbelt, MD, United States
Conveners:  Zhong Lu, Southern Methodist University, Roy M Huffington Department of Earth Sciences, Dallas, United States, Thomas Oommen, University of Mississippi, Geology and Geological Engineering, Oxford, United States and Jean-Philippe Malet, Institut Terre et Environnement de Strasbourg, CNRS UMR 7063, ITES/Université de Strasbourg, Strasbourg, France
Primary Liaison:  Thomas Oommen, University of Mississippi, Geology and Geological Engineering, Oxford, United States
Chairs:  Dalia Kirschbaum, NASA Goddard Space Flight Center, Earth Sciences Division, Greenbelt, MD, United States, Jean-Philippe Malet, Institut Terre et Environnement de Strasbourg, CNRS UMR 7063, ITES/Université de Strasbourg, Strasbourg, France and Thomas Oommen, University of Mississippi, Geology and Geological Engineering, Oxford, United States
OSPA Liaison:  Dalia Kirschbaum, NASA Goddard Space Flight Center, Earth Sciences Division, Greenbelt, MD, United States

Cross-Listed:
  • H - Hydrology
  • IN - Earth and Space Science Informatics
Index Terms:

0540 Image processing [COMPUTATIONAL GEOPHYSICS]
4315 Monitoring, forecasting, prediction [NATURAL HAZARDS]
4333 Disaster risk analysis and assessment [NATURAL HAZARDS]
4339 Disaster mitigation [NATURAL HAZARDS]

Abstracts Submitted to this Session:

Early-warning system using Hydro-debris 2D model for the overall western region of Japan (Invited) (419570)
Yosuke Alexandre Yamashiki, Yamashiki Laboratory Graduate School of Advanced Integrated Studies in Human Survivability Kyoto University, Gokasho Uji, Japan
What hydrological information would we like to have from remote sensing for better regional landslide hazard assessment? (Invited) (362229)
Thom Bogaard, Delft University of Technology, Water Management, Delft, Netherlands, Roberto Greco, Università degli Studi della Campania Luigi Vanvitelli, Dipartimento di Ingegneria, Aversa, Italy and David Johnny Johnny Peres, University of Catania, Catania, Italy
Identifying physics-based thresholds for rainfall-induced landsliding (368949)
Matthew A. Thomas, U.S. Geological Survey, Golden, United States, Benjamin B Mirus, USGS Geologic Hazards Science Center, Golden, United States and Brian D Collins, USGS Landslide Hazards Program, Moffett Field, United States
Incorporating Satellite Precipitation Uncertainty in Landslide Hazard Predictions over the Southeastern U.S. (378896)
Samantha Hartke1, Daniel B Wright1, Dalia Kirschbaum2, Mr. Thomas Stanley3 and Zhe Li4, (1)University of Wisconsin Madison, Madison, WI, United States, (2)NASA Goddard Space Flight Center, Earth Sciences Division, Greenbelt, MD, United States, (3)University of Maryland Baltimore County, GESTAR-II, Baltimore, United States, (4)Tsinghua University, Beijing, China
Developing a Landslide Early Warning System for Chittagong City, Bangladesh (359196)
Bayes Ahmed1, Peter R Sammonds1, Md. Shahinoor Rahman2 and Rahenul Islam3, (1)University College London (UCL), Institute for Risk and Disaster Reduction (IRDR), London, United Kingdom, (2)George Mason University Fairfax, Center for Spatial Information Science and Systems, Fairfax, VA, United States, (3)International Centre for Diarrhoeal Disease Research, Bangladesh, Dhaka, Bangladesh
Landslide mapping using GPS, optical, and radar data: A case study in the Portuguese Bend Landslide Complex, California between 2007 and 2017 (397375)
El Hachemi Yousef Bouali, Trinity College, Hartford, CT, United States, Thomas Oommen, University of Mississippi, Geology and Geological Engineering, Oxford, United States and Rudiger P Escobar-Wolf, Michigan Technological Univ., Houghton, United States
Operational Use of InSAR Corner Reflectors (CR) for Landslide Hazard and Risk Assessment in Norway Using Sentinel-1 and Radarsat-2 (431910)
John Dehls, Geological Survey of Norway, Trondheim, Norway, Tom Rune Lauknes, NORCE Norwegian Research Centre, Tromsø, Norway, Yngvar Larsen, NORUT Northern Research Institute, Tromsø, Norway and Reginald L Hermanns, Norges geologiske undersøkelse; Norwegian University of Science and Technology, Trondheim, Norway
Combining Sentinel-1 and Ground-based SAR to retrieve landslide 3D displacement: application to Pas de l’Ours landslide, France (448147)
Floriane Provost1, Alexander L Handwerger2, Jean-Philippe Malet3, Julien Point4 and Clément Hibert3, (1)Faculté des Sciences et de Génie, Université Laval, Québec, QC, Canada, (2)NASA Jet Propulsion Laboratory, Pasadena, United States, (3)Institut Terre et Environnement de Strasbourg, CNRS UMR 7063, ITES/Université de Strasbourg, Strasbourg, France, (4)Institut de Physique du Globe Strasbourg, Strasbourg Cedex, France

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